Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Apply research skills to customer analytics and build impactful models and dashboards.
- Company: Join an international art services business with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Influence key business decisions and collaborate on exciting cross-team projects.
- Qualifications: PhD in a quantitative field and experience with Python and SQL.
- Other info: Dynamic team environment with a passion for art and analytics.
The predicted salary is between 50000 - 70000 £ per year.
An international art services business is looking for a Data Scientist to join their Data team in the Greater London area. The role involves applying research skills to customer analytics, building models, creating dashboards, and delivering insights to support commercial teams.
Candidates should have a PhD in a quantitative field and experience in Python, SQL, and analytical methods. This position offers an opportunity to influence critical business decisions and contribute to cross-team projects.
Data Scientist: Customer Analytics & Data Platform in London employer: HENI
Contact Detail:
HENI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: Customer Analytics & Data Platform in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your analytical methods and being ready to discuss your research experience. Practice common data science interview questions and be prepared to demonstrate your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist: Customer Analytics & Data Platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python, SQL, and any analytical methods you've used. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about customer analytics and how your PhD has prepared you for this role. Let us know how you can influence critical business decisions with your insights.
Showcase Your Research Skills: Since the role involves applying research skills, include examples of your past work where you've built models or created dashboards. We love seeing how you've turned data into actionable insights that support commercial teams.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at HENI
✨Know Your Data Inside Out
Make sure you’re well-versed in customer analytics and the specific data tools mentioned in the job description, like Python and SQL. Brush up on your knowledge of analytical methods and be ready to discuss how you've applied them in past projects.
✨Showcase Your Research Skills
Prepare to talk about your PhD research and how it relates to the role. Highlight any relevant projects where you built models or created dashboards, and be ready to explain your thought process and the impact of your work on business decisions.
✨Prepare Insightful Questions
Think of questions that show your interest in the company and the role. Ask about the types of cross-team projects you might work on or how the data team collaborates with commercial teams. This shows you’re keen to contribute and understand the bigger picture.
✨Practice Problem-Solving Scenarios
Expect to face some technical questions or case studies during the interview. Practice explaining your approach to solving data-related problems clearly and concisely. Use examples from your experience to demonstrate your analytical thinking and problem-solving skills.